A simple constructive learning algorithm is proposed for regime discovery in non-stationary time series. The approach is based on competition among regression models aided by averaging of their squared residuals over neighboring data points and incremental introduction of additional models when needed. A case study on California’s deregulated power market discovered that 4 regimes existed in ma...

The locational Marginal Pricing (LMP) is very important issue in deregulated environment. This paper provides a method to minimize the locational marginal pricing in the energy market. This market works under locational marginal pricing, i.e., generating units and demand loads are paid and pay, respectively, the locational marginal prices corresponding to the nodes they are connected to. An ind...